Markus R. Eisele
Impact in
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
-
- Ubiquitin and proteasome pathways
- Single-cell and spatial transcriptomics
- Advanced Biosensing Techniques and Applications
- RNA Research and Splicing
Papers in
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- Ubiquitin and proteasome pathways 3
- Metabolomics and Mass Spectrometry Studies 2
- Glycosylation and Glycoproteins Research 1
- Oncology 3
- Peptidase Inhibition and Analysis 3
- Co-authors
- Yao Lu (2 shared papers)Qiong Xue (2 shared papers)Endah S. Sulistijo (2 shared papers)Kathryn Miller‐Jensen (2 shared papers)Rong Fan (2 shared papers)Wolfgang Baumeister (3 shared papers)Eri Sakata (4 shared papers)Dana Pe’er (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Science Signaling (1 paper)Analytical Chemistry (1 paper)Cell Reports (1 paper)Nature Communications (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Markus R. Eisele
8 papers receiving 738 citations
Peers
Comparison fields: 5 of 81
- Cell Biology 132
- Molecular Biology 513
- Structural Biology 10
- Spectroscopy 97
- Biophysics 32
Countries citing papers authored by Markus R. Eisele
This map shows the geographic impact of Markus R. Eisele's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Markus R. Eisele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus R. Eisele more than expected).
Fields of papers citing papers by Markus R. Eisele
This network shows the impact of papers produced by Markus R. Eisele. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Markus R. Eisele. The network helps show where Markus R. Eisele may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus R. Eisele, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 214 | |
| 2 | 2019 | 151 | |
| 3 | 2015 | 119 | |
| 4 | 2013 | 103 | |
| 5 | 2018 | 93 | |
| 6 | 2020 | 35 | |
| 7 | 2022 | 23 | |
| 8 | 2022 | 5 |
About Markus R. Eisele
Markus R. Eisele is a scholar working on Molecular Biology, Oncology, Cell Biology, Spectroscopy and Immunology, having authored 8 papers that have together received 743 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Peptidase Inhibition and Analysis (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Immune cells in cancer (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Neurological disorders and treatments (1 paper). The work is most often cited by research in Cell Biology (132 citations), Molecular Biology (513 citations), Structural Biology (10 citations), Spectroscopy (97 citations) and Biophysics (32 citations). Markus R. Eisele has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Yao Lu, Qiong Xue, Endah S. Sulistijo, Kathryn Miller‐Jensen, Rong Fan, Wolfgang Baumeister, Eri Sakata, Dana Pe’er, Rebecca S. Brown and Chenguang Zhao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Science Signaling, Analytical Chemistry, Cell Reports and Nature Communications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.